Learning Statistics with R

Learning Statistics with R

“Learning Statistics with R”, by Daniel Navarro, is still a work in progress, but it has reached a “first draft” stage, at 542 pages.


Learning Statistics with R covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software.

R is a free software programming language and a software environment for statistical computing and graphics. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. Polls and surveys of data miners are showing R’s popularity has increased substantially in recent years.

Table of Contents

  • Why do we learn statistics?
  • A brief introduction to research design
  • Getting started with R
  • Additional R concepts
  • Descriptive statistics
  • Drawing graphs
  • Pragmatic matters
  • Basic programming
  • Introduction to probability
  • Estimating population parameters from a sample
  • Hypothesis testing
  • Categorical data analysis
  • Comparing two means
  • Comparing several means (one-way ANOVA)
  • Linear regression
  • Factorial ANOVA

Book Details

Author(s): Daniel Navarro
Format(s): PDF
File size: 5.19 MB
Number of pages: 542
Link: Download.

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